Software developers are known to experience a wide range of emotions while performing development tasks. Emotions expressed in developer communication might reflect openness of the ecosystem to newcomers, presence of conflicts, problems in the software development process or source code itself. In this talk, based on a recent work with Nicole Novielli, I present an overview of the state-of-the-art research on analysis of emotions in software engineering focusing on the studies of emotion in context of software ecosystems. To encourage further applications of emotion analysis in the industry and research we also discuss currently available emotion analysis tools and datasets as well as outline directions for future research.

Alexander Serebrenik is a full professor of social software engineering at the Eindhoven University of Technology, The Netherlands. His research goal is to facilitate evolution of software by taking into account social aspects of software development. His work tends to involve theories and methods both from within computer science (e.g., theory of socio-technical coordination; methods from natural language processing, machine learning) and from outside of computer science (e.g., organisational psychology). The underlying idea of his work is that of empiricism, i.e., that addressing software engineering challenges should be grounded in observation and experimentation, and requires a combination of the social and the technical perspectives. Alexander has co-authored a book “Evolving Software Systems” (Springer Verlag, 2014), and more than 170 scientific papers and articles. He is actively involved in organisation of scientific conferences and is member of the editorial board of several journals. He has won multiple best paper and distinguished reviewer awards. Alexander is a senior member of IEEE and a member of ACM. Contact him at a.serebrenik@tue.nl.